Triple
T23008717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | قصر البديع |
E572848
|
entity |
| Predicate | country |
P26
|
FINISHED |
| Object | المغرب |
—
|
NE NERFINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: المغرب | Statement: [قصر البديع, country, المغرب]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: المغرب Context triple: [قصر البديع, country, المغرب]
-
A.
Morocco
chosen
Morocco is a North African country known for its rich blend of Arab, Berber, and European cultural influences, historic cities like Marrakech and Fez, and diverse landscapes ranging from Atlantic coastlines to the Atlas Mountains and Sahara Desert.
-
B.
المغرب العربي
المغرب العربي هو منطقة جغرافية وثقافية في شمال غرب إفريقيا تضم عدة دول عربية وتتميز بإرث حضاري إسلامي وأمازيغي عريق.
-
C.
Algeria
Algeria is a large North African country on the Mediterranean coast, known for its vast Sahara Desert regions, rich history, and significant role in both colonial and post-colonial geopolitics.
-
D.
Marroquina
Marroquina is a residential neighborhood within the Moratalaz district of Madrid, Spain.
-
E.
Kingdom of Morocco
The Kingdom of Morocco is a North African country known for its diverse landscapes from Atlantic coasts to the Sahara Desert, rich Berber-Arab cultural heritage, and growing role as a regional hub for renewable energy and tourism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835919b08190ba78e182b87358d4 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.